As companies grow, their demands for data also grow – often exponentially, which may take data and IT teams by surprise. Static approaches to managing data access quickly lead to role explosion, while an influx of data assets and data users make it difficult to find and gain access to the right data efficiently.
In this interview, Paul Rankin, Chief Data Officer, dives into the technical challenges of data governance, including the common scalability and findability obstacles. He explains the complexities of traditional access control, the need for automated data classification, and best practices for building scalable and secure enterprise data platforms.
